Computing Up – Theories of theories of everything

by Computing Up

03 October 2019

Relational neurosymbolic Markov models

Lennert De Smet and Gabriele Venturato 19 Feb 2026

Relational neurosymbolic Markov models make deep sequential models logically consistent, intervenable and generalisable

AI enables a Who’s Who of brown bears in Alaska

EPFL 18 Feb 2026

A team of scientists from EPFL and Alaska Pacific University has developed an AI program that can recognize individual bears in the wild, despite the substantial changes that occur in their appearance over the summer season.

Learning to see the physical world: an interview with Jiajun Wu

AI Matters and Ella Scallan 17 Feb 2026

Winner of the 2019 AAAI / ACM SIGAI dissertation award tells us about his current research.

3 Questions: Using AI to help Olympic skaters land a quint

MIT News 16 Feb 2026

Researchers are applying AI technologies to help figure skaters improve. They also have thoughts on whether five-rotation jumps are humanly possible.

AAAI presidential panel – AI and sustainability

Lucy Smith 13 Feb 2026

Watch the next discussion based on sustainability, one of the topics covered in the AAAI Future of AI Research report.

How can robots acquire skills through interactions with the physical world? An interview with Jiaheng Hu

Lucy Smith 12 Feb 2026

Find out more about work published at the Conference on Robot Learning (CoRL).

From Visual Question Answering to multimodal learning: an interview with Aishwarya Agrawal

AI Matters and Ella Scallan 11 Feb 2026

We hear from Aishwarya about research that received a 2019 AAAI / ACM SIGAI Doctoral Dissertation Award honourable mention.

Governing the rise of interactive AI will require behavioral insights

Yulu Pi 10 Feb 2026

Yulu Pi writes about her work that was presented at the conference on AI, ethics and society (AIES 2025).